Nanomind: Exploring Synergies in Nanotechnology and Machine Learning
暫譯: 納米思維：探索納米技術與機器學習的協同效應
Mahajan, Shubham, Das, Susanta, Rocha, Alvaro
- 出版商: Springer
- 出版日期: 2025-04-29
- 售價: $6,180
- 貴賓價: 9.5 折 $5,871
- 語言: 英文
- 頁數: 289
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031772954
- ISBN-13: 9783031772955
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相關分類:
奈米科技 Nano、Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
NanoMind" serves as a captivating exploration at the crossroads of nanotechnology and machine learning, revealing the profound synergies between these two groundbreaking fields. At its core, the book is a guided tour through the intricate realms of nanoscale materials and artificial intelligence, illuminating their combined potential to reshape the landscape of innovation.
The journey begins with an introductory chapter, setting the stage for the convergence of nanotechnology and machine learning. Readers are introduced to the fundamental principles and applications of nanoscale materials, laying the groundwork for a deeper understanding of the nano-world. Simultaneously, the basics of machine learning are demystified, providing a comprehensive overview of the methodologies and concepts that underpin AI.
"Nanoscale Sensing and Imaging" takes readers into the realm of advanced technologies, showcasing how machine learning enhances our ability to sense and image materials at the nanoscale. The narrative then seamlessly transitions to the creation and optimization of materials with nano-enhancements in "Nano-Enabled Materials." This section demonstrates how the marriage of nanotechnology and machine learning can lead to the development of materials with unprecedented properties, fostering innovation in diverse industries.
The exploration extends into the field of healthcare with "Machine Learning in Nanomedicine," unveiling how AI at the nanoscale is transforming diagnostics, drug delivery, and personalized medicine. "Quantum Computing and Nanotechnology" delves into the cutting-edge intersection of quantum computing, nanotech, and machine learning, showcasing the potential for revolutionary advancements in computation and problem-solving.
However, the journey isn't without its challenges. The book devotes a section to "Challenges and Ethical Considerations," addressing the complexities and ethical dimensions associated with the convergence of nanotechnology and machine learning. This discussion ensures that readers are equipped to navigate the ethical landscape responsibly.
商品描述(中文翻譯)
《NanoMind》是一部引人入勝的探索，位於奈米科技與機器學習的交匯處，揭示了這兩個突破性領域之間深刻的協同效應。該書的核心是一場引導讀者穿越奈米尺度材料與人工智慧的複雜領域的旅程，照亮了它們結合的潛力，重新塑造創新的格局。
這段旅程始於一個介紹性章節，為奈米科技與機器學習的融合奠定基礎。讀者將了解奈米尺度材料的基本原則和應用，為深入理解奈米世界打下基礎。同時，機器學習的基本概念也被揭示，提供了支撐人工智慧的各種方法論和概念的全面概述。
《奈米尺度感測與成像》將讀者帶入先進技術的領域，展示了機器學習如何增強我們在奈米尺度上感測和成像材料的能力。接著，敘述無縫地過渡到《奈米增強材料》中材料的創造與優化，展示奈米科技與機器學習的結合如何導致具有前所未有特性的材料的開發，促進各行各業的創新。
探索延伸至醫療保健領域的《奈米醫學中的機器學習》，揭示了奈米尺度上的人工智慧如何改變診斷、藥物傳遞和個性化醫療。《量子計算與奈米科技》深入探討量子計算、奈米科技與機器學習的前沿交集，展示了在計算和問題解決方面的革命性進展潛力。
然而，這段旅程並非沒有挑戰。該書專門設置了一個章節《挑戰與倫理考量》，探討與奈米科技和機器學習融合相關的複雜性和倫理維度。這一討論確保讀者能夠負責任地導航倫理領域。
作者簡介
Dr. Shubham Mahajan, a member of prestigious organizations such as IEEE, ACM, and IAENG. He earned his B.Tech. degree from Baba Ghulam Shah Badshah University, his M.Tech. degree from Chandigarh University, his Ph.D. degree from Shri Mata Vaishno Devi University (SMVDU) in Katra, India. Currently, he serves as an Assistant Professor at Amity University, Haryana.
Dr. Mahajan has a remarkable track record in the field of artificial intelligence and image processing, holding an impressive portfolio of seventeen Indian patents, as well as one Australian and one German patent. His contributions to the field are further evidenced by his extensive publication record, which includes over 84 articles published in peer-reviewed journals and conferences and 8 edited books. His research interests span a wide array of topics, encompassing image processing, video compression, image segmentation, fuzzy entropy, nature-inspired computing methods, optimization, data mining, machine learning, robotics, and optical communication. Notably, his dedication and expertise have earned him the 'Best Research Paper Award' from ICRIC 2019, published by Springer in the LNEE series.
Dr. Susanta Das is a seasoned educator with a proven record of teaching and mentoring diverse students, working at multiple institutions, and providing service to the various initiatives of organizations. He received his Ph.D. and M.A. degrees from Western Michigan University (WMU), USA, and M.Sc. degree from Banaras Hindu University (BHU), India all in Physics. He continued his post-doctoral research as a Marie-Curie post-doctoral fellow at Stockholm University Stockholm, Sweden on beam diagnostics for the DESIREE (Double ElectroStatic Ion Ring ExpEriment) in the project DITANET (Diagnostic Techniques for particle Accelerators - a Marie-Curie initial training NETwork), at the Indian Institute of Science Education and Research-Kolkata, India on high-pressure physics as a Project Scientist-B, and at the University of Electro-Communications, Tokyo, Japan on ion-surface interactions as a Post-doctoral fellow.
Dr. Álvaro Rocha was listed in 2023 as World's 1% Top Scientists by Stanford University and Elsevier, World's Top 0.05% Scientist by ScholarGPS, and World's Top 1% Scientist by ResearchGate for the fields of Information Science and Information Systems. He is Professor at ISEG, University of Lisbon, Invited Professor at University of Calabria, Honorary Professor at Amity University, President of ITMA - Information and Technology Management Association, Vice-Chair of IEEE SMC Portugal Chapter, and Book Series Scientific Manager at Springer-Nature. He holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science.
Dr Debanjali Barman Roy has completed her Ph.D. Degree in Physics from ICFAI University, Dehradun. The title of her Ph.D. dissertation was "Fabrication and Characterization of Iron Oxide Nanomaterials and Nanocomposites for the Advanced Device Applications".
Dr. Paras Chawla received his B.Tech. (Honors) and M.Tech. degree from Kurukshetra University; NIT, Kurukshetra and Ph. D. from Thapar University, Patiala. Completed One year Online Post Graduate Program in Artificial Intelligence and Machine Learning from Purdue University, USA & master course program from IBM. He has more than 21 years of academic, Research, industry & administration experience and currently working as Professor & Director, Amity School of Engineering & Technology (ASET) and Amity Institute of Information Technology (AIIT), Amity University Haryana. Demonstrated leadership roles such as Zonal Head- IT Academics, Associate Dean and Head of the departments. Led as a Head of Department (HOD) six-year NBA accreditation at Chandigarh University. He managed NBA, NAAC, and ABET accreditations and steered NAAC, NIRF rankings at multiple levels.
作者簡介(中文翻譯)
Dr. Shubham Mahajan 是 IEEE、ACM 和 IAENG 等知名組織的成員。他在 Baba Ghulam Shah Badshah University 獲得 B.Tech. 學位，在 Chandigarh University 獲得 M.Tech. 學位，並在印度 Katra 的 Shri Mata Vaishno Devi University (SMVDU) 獲得 Ph.D. 學位。目前，他擔任哈里亞納邦 Amity University 的助理教授。
Dr. Mahajan 在人工智慧和影像處理領域擁有卓越的成就，擁有 17 項印度專利，以及 1 項澳大利亞專利和 1 項德國專利。他在該領域的貢獻進一步體現在他廣泛的出版紀錄上，包括在同行評審的期刊和會議上發表的 84 篇文章以及 8 本編輯書籍。他的研究興趣涵蓋多個主題，包括影像處理、視頻壓縮、影像分割、模糊熵、自然啟發計算方法、優化、數據挖掘、機器學習、機器人技術和光學通信。值得注意的是，他的奉獻和專業知識使他獲得了 ICRIC 2019 的「最佳研究論文獎」，該論文由 Springer 在 LNEE 系列中發表。
Dr. Susanta Das 是一位經驗豐富的教育工作者，擁有教學和指導多元學生的良好紀錄，曾在多個機構工作並為各種組織的倡議提供服務。他在美國西密歇根大學 (WMU) 獲得 Ph.D. 和 M.A. 學位，在印度的班納拉斯印度大學 (BHU) 獲得 M.Sc. 學位，均為物理學專業。他在瑞典斯德哥爾摩大學作為 Marie-Curie 博士後研究員，進行 DESIREE（雙靜電離子環實驗）的束流診斷研究，並在印度科學教育與研究所 (IISER) 的高壓物理項目中擔任項目科學家-B，還在日本東京的電通大學進行離子-表面相互作用的博士後研究。
Dr. Álvaro Rocha 在 2023 年被史丹佛大學和 Elsevier 列為全球 1% 的頂尖科學家，並被 ScholarGPS 評選為全球前 0.05% 科學家，以及被 ResearchGate 評選為全球前 1% 科學家，專注於資訊科學和資訊系統領域。他是里斯本大學 ISEG 的教授，卡拉布里亞大學的受邀教授，Amity University 的榮譽教授，ITMA（資訊與技術管理協會）的會長，IEEE SMC 葡萄牙分會的副主席，以及 Springer-Nature 的書籍系列科學經理。他擁有榮譽教授的頭銜，並擁有資訊科學的 D.Sc.、資訊系統與技術的 Ph.D.、資訊管理的 M.Sc. 和計算機科學的 BCs 學位。
Dr. Debanjali Barman Roy 在 ICFAI 大學德拉敦完成了物理學的 Ph.D. 學位。她的博士論文題目為「鐵氧化物納米材料和納米複合材料的製備與表徵，用於先進設備應用」。
Dr. Paras Chawla 在庫魯克舍特拉大學獲得 B.Tech.（榮譽）和 M.Tech. 學位，並在帕提亞拉的 Thapar University 獲得 Ph.D. 學位。他完成了美國普渡大學的為期一年的人工智慧和機器學習在線研究生課程，並從 IBM 獲得碩士課程。他擁有超過 21 年的學術、研究、行業和行政經驗，目前擔任 Amity School of Engineering & Technology (ASET) 和 Amity Institute of Information Technology (AIIT) 的教授及主任。他曾擔任 IT 學術區域負責人、助理院長和系主任等領導職位，並在昌迪加爾大學主導了六年的 NBA 認證。他管理 NBA、NAAC 和 ABET 認證，並在多個層面上推動 NAAC 和 NIRF 排名。
